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bioxbt 🪻
7.9K posts
bioxbt 🪻
@bioxbt
Learning, teaching and hooking @yieldlounge UHI8
Ericeira Sumali Mayıs 2021
5.6K Sinusundan2K Mga Tagasunod
Isto está ao nível de partir o esparguete para um italiano.
Defence 360°@Defence360
O 🇧🇷 inventou o Pastel de Nata de Bacalhau com Azeitona incluída. Configuração de última geração do Pastel de Nata de 🇵🇹.
Português
i think deciding what to build is one of the hardest decisions
not because it's hard to find an idea but exactly the opposite: there's a million things you could build
but how do you know which one is worth pursuing?
what if you should be building something else?
when do you know it's time to drop an idea or pivot?
English
hermes agent setup is way more tedious than setting up @openclaw!
English
@tayvano_ @crypto_condom @tayvano_ are there any resources on the gold standard multisig operating procedures
Obviously a dedicated machine with hww but what else can be done?
There is generally a lack of resources for this topic
English
I beg everyone in crypto to read this in full.
I expected this to be another case of social engineering, likely some recruiter/job offer shit.
I was very wrong.
And the depth of the operation and personas makes me think they already have multiple other teams on lock.
😳
Drift@DriftProtocol
English
Today, we release LFM2.5-350M. Agentic loops at 350M parameters.
A 350M model trained for reliable data extraction and tool use, where models at this scale typically struggle.
<500MB when quantized, built for environments where compute, memory, and latency are constrained.
🧵
English
You know what’s about to explode? Analog. The real world. 90’s all over.
English
Tether product team is preparing something big.
Shipping in less than 30 days.
English
> train a model for $5M
> next one costs $100M
> next one costs $1B
> 5 companies own all the AI
> rest of the world rents access at their margins
> crypto says “we can fix this”
> launches 128 subnets competing to produce intelligence
> miners earn TAO based on output quality
> one subnet hits $5.5M annualized revenue
> another signs Reading FC and 3,000 petrol stations
> another gets research accepted at NeurIPS
> another is discovering drug compounds 24/7
> largest permissionless pre-training run ever conducted
> grayscale files an ETF
> a state VC fund backs the ecosystem
> OpenAI valued at $500B
> the decentralized alternative: $4B
> you mass-allocated to Nvidia
> the Intelligence Olympics were running the whole time
Khala Research@KhalaResearch
Training a frontier AI model cost $5M in 2020. Today it costs $1B+ The gap keeps compounding, in favour of the same five companies A decade ago, nobody believed open-source could compete with enterprise software. But then it did Bittensor (TAO) is a global open market where subnets compete to produce AI services, getting paid based on quality output This is what crypto is good at - coordinating users with shared incentives Over the past 12 months, significant progress has been made in the ecosystem; recurring fiat revenue, enterprise contracts, decentralized research and more In our TAO report, we: 1) Profile 5 subnets generating revenue across inference, computer vision, compliance, and drug discovery 2) Show how token incentive mechanics create advantages centralized companies cannot replicate 3) Breakdown catalysts and risk factors of subnets and Bittensor The link to the full report is in the next post below:
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